Upcoming Seminar

Introduction to Computer Vision and Deep Learning in MATLAB

Location:
Washington, D.C.
Venue:
Washington Marriott at Metro Center
Date:
April 4th, 2017
Time:
9:00 a.m. – 12:00 p.m.

Overview

Deep Learning is a key approach to solving computer vision challenges, such as object detection, object recognition, and image segmentation. While it achieves outstanding results, it can be difficult to train, evaluate, and compare.

In this session, we will explore how MATLAB provides an easier environment for training, evaluation, and comparison of deep learning algorithms in computer vision applications. We will cover recent capabilities for deep learning in MATLAB, Neural Networks Toolbox, and Computer Vision System Toolbox.

Highlights

  • Training models using large image datasets
  • Training deep neural networks from scratch
  • Using transfer learning to re-use trained deep networks for new tasks
  • Exploring the tradeoffs between machine learning and deep learning
  • Accelerate training with single and multiple GPU’s
  • Frameworks for object detection with deep learning.

Agenda

Time Title
8:30 a.m. – 9 :00 a.m. Registration and Continental Breakfast
9:00 a.m. – 11 :30 a.m. Deep Learning for Computer Vision seminar
11 :30 a.m. - 12 :00 p.m. Q&A